code: def forward(self, x):
      return self.model(x)
  
file_path: BigDL/python/nano/test/pytorch/tests/train/trainer/test_trainer_precision.py
imports: import os
  from unittest import TestCase
  import pytest
  import torch
  from torch import nn
  from torch.utils.data import DataLoader, TensorDataset
  from pytorch_lightning.plugins.precision.native_amp import NativeMixedPrecisionPlugin
  from pytorch_lightning.plugins.precision.double import DoublePrecisionPlugin
  from bigdl.nano.pytorch import Trainer
  from bigdl.nano.pytorch.vision.models import vision
  from bigdl.nano.utils.pytorch import TORCH_VERSION_LESS_1_10
  from test.pytorch.utils._train_torch_lightning import create_data_loader, create_test_data_loader, data_transform
label_desc: Use image node_id 2 for calling the ResNet18 obj's underlying member method code with example usage: obj.forward(x) and returns: self